67 citations · 191 across the 22 of their papers we have counts for
23 papers
Working Memory in a Recurrent Spiking Neural Networks With Heterogeneous Synaptic Delays
Laurent U Perrinet
Working memory -- the ability to store and recall precise temporal patterns of neural activity -- remains an open challenge for spiking neural networks (SNNs). We propose a recurre…
A Saccade-inspired Approach to Image Classification using Vision Transformer Attention Maps
Matthis Dallain, Laurent Rodriguez, Laurent Udo Perrinet +1
Human vision achieves remarkable perceptual performance while operating under strict metabolic constraints. A key ingredient is the selective attention mechanism, driven by rapid s…
Precise spiking motifs in neurobiological and neuromorphic data
Antoine Grimaldi, Amélie Gruel, Camille Besnainou +3
Why do neurons communicate through spikes? By definition, spikes are all-or-none neural events which occur at continuous times. In other words, spikes are on one side binary, exist…
Learning heterogeneous delays in a layer of spiking neurons for fast motion detection
Antoine Grimaldi, Laurent U Perrinet
The precise timing of spikes emitted by neurons plays a crucial role in shaping the response of efferent biological neurons. This temporal dimension of neural activity holds signif…
Accurate Detection of Spiking Motifs by Learning Heterogeneous Delays of a Spiking Neural Network
Laurent U Perrinet
Recently, interest has grown in exploring the hypothesis that neural activity conveys information through precise spiking motifs. To investigate this phenomenon, various algorithms…
Beyond sparse coding in V1
Ilias Rentzeperis, Luca Calatroni, Laurent Perrinet +1
Growing evidence indicates that only a sparse subset from a pool of sensory neurons is active for the encoding of visual stimuli at any instant in time. Traditionally, to replicate…